Abdullah Al Mehedi
Union City,USA
Summary
ML and Geospatial Data Scientist with 4+ years of experience in predictive modeling for hydrology and climate sciences. Expert in ML/DL models, including physics-informed approaches, time-series forecasting, and explainable AI techniques. Proficient in Python, with experience in frameworks: TensorFlow, PyTorch, and scikit-learn, handling large-scale datasets and geospatial analysis. Skilled in integrating remote sensing data (e.g., SAR, MODIS, Landsat) and GIS tools. Experienced in leveraging HPC clusters and cloud-computing (AWS, GC) for scaling AI workloads and automating workflows. Published in leading journals like Nature and Elsevier, contributing innovative methods in ML/DS.
Overview
9
9
years of professional experience
Work History
Hydrologic Data Scientist
First Street Technology
New York City, USA
09.2024 - Current
- Designed and implemented large-scale probabilistic predictive models for flood forecasting across climatic scenarios globally, processing terabyte-scale geospatial datasets.
- Trained ML models for risk analysis and forecasting in flooding using synthetic and real-world datasets.
- Developed end-to-end streamflow predictive solutions leveraging DL architectures (Uni/Bi-LSTM, Encoder-Decoder, GRU) for multivariate time-series analysis of over 15M+ observations, enhancing accuracy by 25%.
- Deployed and optimized ML/DL and physics-based flood models on HPC clusters and AWS EC2, utilizing SLURM job scheduling for high parallelization, reducing runtime by 40%.
- Optimized trade-offs in runtime, cost, and data resolution for scalable model deployment.
- Quantified uncertainties by generating thousands of realizations of hydrologic variables (e.g., streamflow, flood depth), enhancing robustness and reliability of predictive systems.
Postdoctoral Research Associate
New York University
New York City, USA
05.2024 - 09.2024
- Developed DL models, including Bayesian Neural Networks, to analyze river flow with stochastic elements, accurately capturing extreme values 95% of the time.
- Applied stochastic differential equations, probabilistic methods, and Bayesian inference to enhance model reliability and predictive accuracy with a simpler parametric space.
- Quantified culvert resiliency with large-scale geospatial data (3-m resolution) using HPC clusters, achieving high computational efficiency.
Research Assistant
Villanova Center of Resilient Water Systems
Villanova, USA
10.2021 - 04.2024
- Integrated ML/DL and data analytics to address water and socio-economic prediction
- Developed physics-informed MLP, (Uni/Bi) LSTM, GRU, CNN-LSTM models, enhancing prediction accuracy for Green Stormwater Infrastructure
- Created hybrid physics-guided ML/DL classifiers/regressors to improve urban flood risk assessments
- Enhanced flood mapping accuracy in GEE using SAR/optical imagery using ML classifiers
- Developed MultiSenseRF integrating SAR bands, temporal change signals, and landscape features for enhanced flood mapping in urban environments
- Utilized LSTM models to analyze long-term river flow changes (50 years) with synthetic inputs
- Enhanced model interpretability with explainable AI (e.g., feature importance) techniques
- Automated ML/DS pipelines for predictive analysis in hydrologic processes and flooding
ML Scientist and Summer Institute Fellow
National Water Center - Office of Water Prediction
Tuscaloosa, USA
06.2022 - 08.2022
- Developed geospatial ML pipelines to predict river roughness and flood inundation across the US
- Integrated data from the National Hydrography dataset, USGS data, and remote sensing imagery
- Conducted statistical analyses to quantify the spatio-temporal dynamics of channel roughness
- Led investigations, supervised analyses, conducted modelling experiments, authored article
Graduate Teaching Assistant
Brandenburg University of Technology (BTU)
Cottbus, Germany
03.2020 - 10.2020
- Conducted training sessions on surface water hydrologic modelling tools for graduate students
- Delivered engaging lectures on numerical modelling schemes (FDM, FVM, FEM)
Engineering Project coordinator
Orion Group
Dhaka, Bangladesh
07.2016 - 10.2017
- Supervised and managed designs and on-site engineers
- Created feasibility report and liaised with the decision-making committee
Education
Ph.D. - Urban Hydrology and Machine Learning, Artificial Intelligence, Hydroinformatics, Remote Sensing
Villanova University (VU)
04.2024
MSc - Hydroinformatics and Water Management
Brandenburg University of Technology (BTU)
10.2019
BSc - Civil Engineering
Bangladesh University of Engineering and Technology (BUET)
02.2015
Skills
Python, R, SQL, MATLAB, C++, JavaScript, Unix shell scripting (Bash), Regression, classification, clustering, time series forecasting, image classification, Feature engineering, statistical analysis, inference techniques, scikit-learn, TensorFlow, Keras, PyTorch, SciPy, CARAT, Matplotlib, Plotly, Folium, ggplot2, Shiny, AWS (EC2), GCP, SLURM job scheduling on HPC clusters, ArcGIS Pro, GEE, QGIS, GeoPandas, GDAL, Sentinel, Landsat, MODIS, ChatGPT, GitHub Copilot, Google Gemini, Python-based pipelines for data preprocessing, model execution, output analysis, Differential calculus, numerical discretization (FD, FV, FE)
Diplomas Certifications
- MITx MicroMasters: Statistics and Data Science (4 out of 5 courses completed)
- IBM Data Science: Professional Certificate (10 courses with a comprehensive capstone project)
- DeepLearning.AI: Specialization in Deep Learning (5 courses with capstone projects)
Awards Scholarships
- National Water Center (NWC) Innovators Program Fellow 2022.
- VUCC (Villanova University Career Center) Professional Development Grant 2023.
Timeline
Hydrologic Data Scientist
First Street Technology
09.2024 - Current
Postdoctoral Research Associate
New York University
05.2024 - 09.2024
ML Scientist and Summer Institute Fellow
National Water Center - Office of Water Prediction
06.2022 - 08.2022
Research Assistant
Villanova Center of Resilient Water Systems
10.2021 - 04.2024
Graduate Teaching Assistant
Brandenburg University of Technology (BTU)
03.2020 - 10.2020
Engineering Project coordinator
Orion Group
07.2016 - 10.2017
MSc - Hydroinformatics and Water Management
Brandenburg University of Technology (BTU)
BSc - Civil Engineering
Bangladesh University of Engineering and Technology (BUET)
Ph.D. - Urban Hydrology and Machine Learning, Artificial Intelligence, Hydroinformatics, Remote Sensing
Villanova University (VU)